Published July 19, 2019
| Version v1
Journal article
Open
Reorganization of 3D genome structure may contribute to gene regulatory evolution in primates
- 1. University of Chicago
Description
A growing body of evidence supports the notion that variation in gene regulation plays a crucial role in both speciation and adaptation. However, a comprehensive functional understanding of the mechanisms underlying regulatory evolution remains elusive. In primates, one of the crucial missing pieces of information towards a better understanding of regulatory evolution is a comparative annotation of interactions between distal regulatory elements and promoters. Chromatin conformation capture technologies have enabled genome-wide quantifications of such distal 3D interactions. However, relatively little comparative research in primates has been done using such technologies. To address this gap, we used Hi-C to characterize 3D chromatin interactions in induced pluripotent stem cells (iPSCs) from humans and chimpanzees. We also used RNA-seq to collect gene expression data from the same lines. We generally observed that lower-order, pairwise 3D genomic interactions are conserved in humans and chimpanzees, but higher order genomic structures, such as topologically associating domains (TADs), are not as conserved. Inter-species differences in 3D genomic interactions are often associated with gene expression differences between the species. To provide additional functional context to our observations, we considered previously published chromatin data from human stem cells. We found that inter-species differences in 3D genomic interactions, which are also associated with gene expression differences between the species, are enriched for both active and repressive marks. Overall, our data demonstrate that, as expected, an understanding of 3D genome reorganization is key to explaining regulatory evolution.
Data availability
All novel Hi-C data collected in this study are available through GEO at series record GSE122520. All analyses performed in R, including creation of most of the figures, can be found at https://ittaieres.github.io/HiCiPSC/.
Files
journal.pgen.1008278.pdf
Additional details
Identifiers
- DOI
- 10.1371/journal.pgen.1008278
- Other
- oai:uchicago.tind.io:6287
Related works
- Cites
- https://doi.org/10.1101/474841 (URL)
Funding
- National Institutes of Health
- GM122930
- National Institutes of Health
- HG002585
- National Institutes of Health
- Genetics and Gene Regulation Training Grant
- National Science Foundation
- Graduate Research Fellowship
- National Institutes of Health
- Genetics and Gene Regulation Training Grant